{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/krasserm/bayesian-machine-learning/blob/dev/latent-variable-models/latent_variable_models_part_2.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    # Use Tensorflow 2.x\n",
    "    %tensorflow_version 2.x\n",
    "    # Check if notebook is running in Google Colab\n",
    "    import google.colab\n",
    "except:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Latent variable models, part 2: Stochastic variational inference and variational autoencoders\n",
    "\n",
    "[Part 1](latent_variable_models_part_1.ipynb) of this article series introduced a latent variable model with discrete latent variables, the Gaussian mixture model (GMM), and an algorithm to fit this model to data, the EM algorithm. Part 2 covers a latent variable model with continuous latent variables for modeling more complex data, like natural images for example, and a Bayesian inference technique that can be used in conjunction with stochastic optimization algorithms.\n",
    "\n",
    "Consider a natural image of size $100 \\times 100$ with a single channel. This image is a point in $10.000$-dimensional space. Natural images are usually not uniformly distributed in this space but reside on a much lower-dimensional manifold within this high-dimensional space. The lower dimensionality of the manifold is related to the limited degrees of freedom in these images e.g. only a limited number of pixel value combinations are actually perceived as natural images. \n",
    "\n",
    "Modeling natural images with latent variable models whose continuous latent variables represent locations on the manifold can be a useful approach that is also discussed here. As in part 1, a model with one latent variable $\\mathbf{t}_i$ per observation $\\mathbf{x}_i$ is used but now the latent variables are continuous rather than discrete variables. Therefore, summations over latent variable states are now replaced by integrals and these are often intractable for more complex models. \n",
    "\n",
    "Observations i.e. images $\\mathbf{X} = \\left\\{ \\mathbf{x}_1, \\ldots, \\mathbf{x}_N \\right\\}$ are again described with a probabilistic model $p(\\mathbf{x} \\lvert \\boldsymbol{\\theta})$. Goal is to maximize the data likelihood $p(\\mathbf{X} \\lvert \\boldsymbol{\\theta})$ w.r.t. $\\boldsymbol{\\theta}$ and to obtain approximate posterior distributions over continuous latent variables. The joint distribution over an observed variable $\\mathbf{x}$ and a latent variable $\\mathbf{t}$ is defined as the product of the conditional distribution over $\\mathbf{x}$ given $\\mathbf{t}$ and the prior distribution over $\\mathbf{t}$.\n",
    "\n",
    "$$\n",
    "p(\\mathbf{x}, \\mathbf{t} \\lvert \\boldsymbol{\\theta}) = p(\\mathbf{x} \\lvert \\mathbf{t}, \\boldsymbol{\\theta}) p(\\mathbf{t} \\lvert \\boldsymbol{\\theta})\n",
    "\\tag{1}\n",
    "$$\n",
    "\n",
    "We obtain the marginal distribution over x by integrating over t.\n",
    "\n",
    "$$\n",
    "p(\\mathbf{x} \\lvert \\boldsymbol{\\theta}) = \\int p(\\mathbf{x} \\lvert \\mathbf{t}, \\boldsymbol{\\theta}) p(\\mathbf{t} \\lvert \\boldsymbol{\\theta}) d\\mathbf{t}\n",
    "\\tag{2}\n",
    "$$\n",
    "\n",
    "This integral is usually intractable for even moderately complex conditional probabilities $p(\\mathbf{x} \\lvert \\mathbf{t}, \\boldsymbol{\\theta})$ and consequently also the true posterior.\n",
    "\n",
    "$$\n",
    "p(\\mathbf{t} \\lvert \\mathbf{x}, \\boldsymbol{\\theta}) = {{p(\\mathbf{x} \\lvert \\mathbf{t}, \\boldsymbol{\\theta}) p(\\mathbf{t} \\lvert \\boldsymbol{\\theta})} \\over {p(\\mathbf{x} \\lvert \\boldsymbol{\\theta})}}\n",
    "\\tag{3}\n",
    "$$\n",
    "\n",
    "This means that the E-step of the EM algorithm becomes intractable. Recall from part 1 that the lower bound of the log marginal likelihood is given by \n",
    "\n",
    "$$\n",
    "\\mathcal{L}(\\boldsymbol{\\theta}, q) = \\log p(\\mathbf{X} \\lvert \\boldsymbol{\\theta}) - \\mathrm{KL}(q(\\mathbf{T} \\lvert \\mathbf{X}) \\mid\\mid p(\\mathbf{T} \\lvert \\mathbf{X}, \\boldsymbol{\\theta}))\n",
    "\\tag{4}\n",
    "$$\n",
    "\n",
    "In the E-step, the lower bound is maximized w.r.t. $q$ and $\\boldsymbol{\\theta}$ is held fixed. If the true posterior is tractable, we can set $q$ to the true posterior so that the KL divergence becomes $0$ which maximizes the lower bound for the current value of $\\boldsymbol{\\theta}$. If the true posterior is intractable approximations must be used. \n",
    "\n",
    "Here, we will use *stochastic variational inference*, a Bayesian inference method that also scales to large datasets<sup>[1]</sup>. Numerous other approximate inference approaches exist but these are not discussed here to keep the article focused.\n",
    "\n",
    "## Stochastic variational inference\n",
    "\n",
    "The field of mathematics that covers the optimization of a functional w.r.t. a function, like ${\\mathrm{argmax}}_q \\mathcal{L}(\\boldsymbol{\\theta}, q)$ in our example, is the [calculus of variations](https://en.wikipedia.org/wiki/Calculus_of_variations), hence the name *variational inference*. In this context, $q$ is called a *variational distribution* and $\\mathcal{L}(\\boldsymbol{\\theta}, q)$ a *variational lower bound*. \n",
    "\n",
    "We will approximate the true posterior with a parametric variational distribution $q(\\mathbf{t} \\lvert \\mathbf{x}, \\boldsymbol{\\phi})$ and try to find a value of $\\boldsymbol{\\phi}$ that minimizes the KL divergence between this distribution and the true posterior. Using $q(\\mathbf{t} \\lvert \\mathbf{x}, \\boldsymbol{\\phi})$ we can formulate the variational lower bound for a single observation $\\mathbf{x}_i$ as\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "\\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{x}_i) &=\n",
    "\\log p(\\mathbf{x}_i \\lvert \\boldsymbol{\\theta}) - \\mathrm{KL}(q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\mid\\mid p(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\theta})) \\\\ &= \n",
    "\\log p(\\mathbf{x}_i \\lvert \\boldsymbol{\\theta}) - \\int q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\log {{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\over {p(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\theta})}} d\\mathbf{t}_i \\\\ &= \n",
    "\\int q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\log {{p(\\mathbf{x}_i \\lvert \\boldsymbol{\\theta}) p(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\theta})} \\over {q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})}} d\\mathbf{t}_i \\\\ &= \n",
    "\\int q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\log {{p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta})} \\over {q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})}} d\\mathbf{t}_i \\\\ &=\n",
    "\\int q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) d\\mathbf{t}_i - \\mathrm{KL}(q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\mid\\mid p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta})) \\\\ &=\n",
    "\\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) - \\mathrm{KL}(q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\mid\\mid p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta})) \n",
    "\\end{align*}\n",
    "\\tag{5}\n",
    "$$\n",
    "\n",
    "We assume that the integral $\\int q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) d\\mathbf{t}_i$ is intractable but we can choose a functional form of $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ from which we can easily sample so that the expectation of $\\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})$ w.r.t. to $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ can be approximated with $L$ samples from $q$. \n",
    "\n",
    "$$\n",
    "\\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{x}_i) \\approx {1 \\over L} \\sum_{l=1}^L \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_{i,l}, \\boldsymbol{\\theta}) - \\mathrm{KL}(q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\mid\\mid p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta}))\n",
    "\\tag{6}\n",
    "$$\n",
    "\n",
    "where $\\mathbf{t}_{i,l} \\sim q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$. We will also choose the functional form of $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ and $p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta})$ such that integration of the KL divergence can be done analytically, hence, no samples are needed to evaluate the KL divergence. With these choices, an approximate evaluation of the variational lower bound is possible. But in order to optimize the lower bound w.r.t. $\\boldsymbol{\\theta}$ and $\\boldsymbol{\\phi}$ we need to approximate the gradients w.r.t. these parameters.\n",
    "\n",
    "### Stochastic gradients\n",
    "\n",
    "We first assume that the analytical expression of the KL divergence, the second term on the RHS of Eq. $(5)$, is differentiable w.r.t. $\\boldsymbol{\\phi}$ and $\\boldsymbol{\\theta}$ so that deterministic gradients can be computed. The gradient of the first term on the RHS of Eq. $(5)$ w.r.t. $\\boldsymbol{\\theta}$ is\n",
    "\n",
    "$$\n",
    "\\nabla_{\\boldsymbol{\\theta}} \\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) =\n",
    "\\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\nabla_{\\boldsymbol{\\theta}} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})\n",
    "\\tag{7}\n",
    "$$\n",
    "\n",
    "Here, $\\nabla_{\\boldsymbol{\\theta}}$ can be moved inside the expectation as $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ doesn't depend on $\\boldsymbol{\\theta}$. Assuming that $p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})$ is differentiable w.r.t. $\\boldsymbol{\\theta}$, unbiased estimates of the gradient can be obtained by sampling from $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$.\n",
    "\n",
    "$$\n",
    "\\nabla_{\\boldsymbol{\\theta}} \\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) \\approx \n",
    "{1 \\over L} \\sum_{l=1}^L \\nabla_{\\boldsymbol{\\theta}} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_{i,l}, \\boldsymbol{\\theta})\n",
    "\\tag{8}\n",
    "$$\n",
    "\n",
    "We will later implement $p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})$ as neural network and use Tensorflow to compute $\\nabla_{\\boldsymbol{\\theta}} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_{i,l}, \\boldsymbol{\\theta})$. The gradient w.r.t. $\\boldsymbol{\\phi}$ is a bit more tricky as $\\nabla_{\\boldsymbol{\\phi}}$ cannot be moved inside the expectation because $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ depends on $\\boldsymbol{\\phi}$. But if we can decompose $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ into an auxiliary distribution $p(\\boldsymbol\\epsilon)$ that doesn't depend on $\\boldsymbol{\\phi}$ and a deterministic, differentiable function $g(\\boldsymbol\\epsilon, \\mathbf{x}, \\boldsymbol{\\phi})$ where $\\mathbf{t}_i = g(\\boldsymbol\\epsilon, \\mathbf{x}_i, \\boldsymbol{\\phi})$ and $\\boldsymbol\\epsilon \\sim p(\\boldsymbol\\epsilon)$ then we can re-formulate the gradient w.r.t. $\\boldsymbol{\\phi}$ as\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "\\nabla_{\\boldsymbol{\\phi}} \\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) &=\n",
    "\\nabla_{\\boldsymbol{\\phi}} \\mathbb{E}_{p(\\boldsymbol\\epsilon)} \\log p(\\mathbf{x}_i \\lvert g(\\boldsymbol\\epsilon, \\mathbf{x}_i, \\boldsymbol{\\phi}), \\boldsymbol{\\theta}) \\\\ &=\n",
    "\\mathbb{E}_{p(\\boldsymbol\\epsilon)} \\nabla_{\\boldsymbol{\\phi}} \\log p(\\mathbf{x}_i \\lvert g(\\boldsymbol\\epsilon, \\mathbf{x}_i, \\boldsymbol{\\phi}), \\boldsymbol{\\theta})\n",
    "\\tag{9}\n",
    "\\end{align*}\n",
    "$$\n",
    "\n",
    "Unbiased estimates of the gradient w.r.t. $\\boldsymbol{\\phi}$ can then be obtained by sampling from $p(\\boldsymbol\\epsilon)$.\n",
    "\n",
    "$$\n",
    "\\nabla_{\\boldsymbol{\\phi}} \\mathbb{E}_{q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta}) \\approx\n",
    "{1 \\over L} \\sum_{l=1}^L \\nabla_{\\boldsymbol{\\phi}} \\log p(\\mathbf{x}_i \\lvert \\mathbf{t}_{i,l}, \\boldsymbol{\\theta})\n",
    "\\tag{10}\n",
    "$$\n",
    "\n",
    "\n",
    "where $\\mathbf{t}_{i,l} = g(\\boldsymbol\\epsilon_l, \\mathbf{x}_i, \\boldsymbol{\\phi})$ and $\\boldsymbol\\epsilon_l \\sim p(\\boldsymbol\\epsilon)$. This so-called *reparameterization trick* can be applied to a wide range of probability distributions, including Gaussian distributions. Furthermore, stochastic gradients w.r.t. $\\boldsymbol{\\phi}$ obtained with this trick have much smaller variance than those obtained with alternative approaches (not shown here).\n",
    "\n",
    "### Mini-batches\n",
    "\n",
    "The above approximations for the variational lower bound and its gradients have been formulated for a single training example $\\mathbf{x}_i$ but this can be easily extended to mini-batches $\\mathbf{X}^M = \\left\\{ \\mathbf{x}_1, \\ldots, \\mathbf{x}_M \\right\\}$ with $M$ random samples from a dataset $\\mathbf{X}$ of $N$ i.i.d. observations. The lower bound of the full dataset $\\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{X})$ can then be approximated as\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "\\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{X}) &\\approx\n",
    "{N \\over M} \\sum_{i=1}^M \\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{x}_i) \\\\ &=\n",
    "\\mathcal{L}^M(\\boldsymbol{\\theta}, q; \\mathbf{X}^M)\n",
    "\\tag{11}\n",
    "\\end{align*}\n",
    "$$\n",
    "\n",
    "Gradients of $\\mathcal{L}^M(\\boldsymbol{\\theta}, q; \\mathbf{X}^M)$ can be obtained as described above together with averaging over the mini-batch and used in combination with optimizers like Adam, for example, to update the parameters of the latent variable model. Sampling from the variational distribution $q$ and usage of mini-batches leads to noisy gradients, hence the term *stochastic variational inference*. \n",
    "\n",
    "If $M$ is sufficiently large, for example $M = 100$, then $L$ can be even set to $1$ i.e. a single sample from the variational distribution per training example is sufficient to get a good gradient estimate on average.\n",
    "\n",
    "## Variational autoencoder\n",
    "\n",
    "From the perspective of a generative model, $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ is a probabilistic *encoder* because it generates a *latent code* $\\mathbf{t}_i$ for input image $\\mathbf{x}_i$ and $p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})$ is a probabilistic *decoder* because it generates or reconstructs an image $\\mathbf{x}_i$ from latent code $\\mathbf{t}_i$. Optimizing the variational lower bound w.r.t. parameters $\\boldsymbol{\\theta}$ and $\\boldsymbol{\\phi}$ can therefore be regarded as training a probabilistic autoencoder or *variational autoencoder* (VAE)<sup>[1]</sup>.\n",
    "\n",
    "In this context, the first term on the RHS of Eq. $(5)$ can be interpreted as expected negative *reconstruction error*. The second term is a *regularization term* that encourages the variational distribution to be close to the prior over latent variables. If the regularization term is omitted, the variational distribution would collapse to a delta function and the variational autoencoder would degenerate to a \"usual\" deterministic autoencoder. \n",
    "\n",
    "### Implementation\n",
    "\n",
    "For implementing a variational autoencoder, we make the following choices:\n",
    "\n",
    "- The variational distribution $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ is a multivariate Gaussian $\\mathcal{N}(\\mathbf{t}_i \\lvert \\boldsymbol\\mu(\\mathbf{x}_i, \\boldsymbol{\\phi}), \\boldsymbol\\sigma^2(\\mathbf{x}_i, \\boldsymbol{\\phi}))$  with a diagonal covariance matrix where mean vector $\\boldsymbol\\mu$ and the covariance diagonal $\\boldsymbol\\sigma^2$ are functions of $\\mathbf{x}_i$ and $\\boldsymbol{\\phi}$. These functions are implemented as neural network and learned during optimization of the lower bound w.r.t. $\\boldsymbol{\\phi}$. After reparameterization, samples from $q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi})$ are obtained via the deterministic function $g(\\boldsymbol\\epsilon, \\mathbf{x}_i, \\boldsymbol{\\phi}) = \\boldsymbol\\mu(\\mathbf{x}_i, \\boldsymbol{\\phi}) + \\boldsymbol\\sigma^2(\\mathbf{x}_i, \\boldsymbol{\\phi}) \\odot \\boldsymbol\\epsilon$ and an auxiliary distribution $p(\\boldsymbol\\epsilon) = \\mathcal{N}(\\boldsymbol\\epsilon \\lvert \\mathbf{0}, \\mathbf{I})$.\n",
    "\n",
    "- The conditional distribution $p(\\mathbf{x}_i \\lvert \\mathbf{t}_i, \\boldsymbol{\\theta})$ is a multivariate Bernoulli distribution $\\text{Ber}(\\mathbf{x}_i \\lvert \\mathbf{k}(\\mathbf{t}_i, \\boldsymbol{\\theta}))$ where parameter $\\mathbf{k}$ is a function of $\\mathbf{t}_i$ and $\\boldsymbol{\\theta}$. This distribution models the binary training data i.e. monochrome (= binarized) MNIST images in our example. Function $\\mathbf{k}$ computes for each pixel its expected value. It is also implemented as neural network and learned during optimization of the lower bound w.r.t. $\\boldsymbol{\\theta}$. Taking the (negative) logarithm of $\\text{Ber}(\\mathbf{x}_i \\lvert \\mathbf{k}(\\mathbf{t}_i, \\boldsymbol{\\theta}))$ gives a sum over pixel-wise binary cross entropies as shown in Eq. $(12)$\n",
    "\n",
    "- Prior $p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta})$ is a multivariate Gaussian distribution $\\mathcal{N}(\\mathbf{t}_i \\lvert \\mathbf{0}, \\mathbf{I})$ with zero mean and unit covariance matrix. With the chosen functional forms of the prior and the variational distribution $q$, $\\mathrm{KL}(q(\\mathbf{t}_i \\lvert \\mathbf{x}_i, \\boldsymbol{\\phi}) \\mid\\mid p(\\mathbf{t}_i \\lvert \\boldsymbol{\\theta}))$ can be integrated analytically to $-{1 \\over 2} \\sum_{d=1}^D (1 + \\log \\sigma_{i,d}^2 - \\mu_{i,d}^2 - \\sigma_{i,d}^2)$ where $D$ is the dimensionality of the latent space and $\\mu_{i,d}$ and $\\sigma_{i,d}$ is the $d$-th element of $\\boldsymbol\\mu(\\mathbf{x}_i, \\boldsymbol{\\phi})$ and $\\boldsymbol\\sigma(\\mathbf{x}_i, \\boldsymbol{\\phi})$, respectively.\n",
    "\n",
    "Using these choices and setting $L = 1$, the variational lower bound for a single image $\\mathbf{x}_i$ can be approximated as\n",
    "\n",
    "$$\n",
    "\\mathcal{L}(\\boldsymbol{\\theta}, q; \\mathbf{x}_i) \\approx \n",
    "- \\sum_c \\left(x_{i,c} \\log k_{i,c} + (1 - x_{i,c}) \\log (1 - k_{i,c})\\right) + {1 \\over 2} \\sum_d (1 + \\log \\sigma_{i,d}^2 - \\mu_{i,d}^2 - \\sigma_{i,d}^2)\n",
    "\\tag{12}\n",
    "$$\n",
    "\n",
    "where $x_{i,c}$ is the value of pixel $c$ in image $\\mathbf{x}_i$ and $k_{i,c}$ its expected value. The negative value of the lower bound is used as loss during training. The following figure outlines the architecture of the variational autoencoder. \n",
    "\n",
    "![VAE](images/vae/auto-encoder.jpg)\n",
    "\n",
    "The definitions of the encoder and decoder neural networks were taken from \\[2\\]. Here, the encoder computes the logarithm of the variance, instead of the variance directly, for reasons of numerical stability. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras.models import Model\n",
    "\n",
    "\n",
    "def create_encoder(latent_dim):\n",
    "    \"\"\"\n",
    "    Creates a convolutional encoder for MNIST images.\n",
    "\n",
    "    Args:\n",
    "        latent_dim: dimensionality of latent space.\n",
    "    \"\"\"\n",
    "    encoder_iput = layers.Input(shape=(28, 28, 1))\n",
    "    \n",
    "    x = layers.Conv2D(32, 3, padding='same', activation='relu')(encoder_iput)\n",
    "    x = layers.Conv2D(64, 3, padding='same', activation='relu', strides=(2, 2))(x)\n",
    "    x = layers.Conv2D(64, 3, padding='same', activation='relu')(x)\n",
    "    x = layers.Conv2D(64, 3, padding='same', activation='relu')(x)\n",
    "    x = layers.Flatten()(x)\n",
    "    x = layers.Dense(32, activation='relu')(x)\n",
    "\n",
    "    q_mean = layers.Dense(latent_dim)(x)\n",
    "    q_log_var = layers.Dense(latent_dim)(x)\n",
    "\n",
    "    return Model(encoder_iput, [q_mean, q_log_var], name='encoder')\n",
    "\n",
    "\n",
    "def create_decoder(latent_dim):\n",
    "    \"\"\"\n",
    "    Creates a convolutional decoder for MNIST images.\n",
    "\n",
    "    Args:\n",
    "        latent_dim: dimensionality of latent space.\n",
    "    \"\"\"\n",
    "    decoder_input = layers.Input(shape=(latent_dim,))\n",
    "    \n",
    "    x = layers.Dense(12544, activation='relu')(decoder_input)\n",
    "    x = layers.Reshape((14, 14, 64))(x)\n",
    "    x = layers.Conv2DTranspose(32, 3, padding='same', activation='relu', strides=(2, 2))(x)\n",
    "    k = layers.Conv2D(1, 3, padding='same', activation='sigmoid')(x)\n",
    "    \n",
    "    return Model(decoder_input, k, name='decoder')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These definitions are used to implement a `VariationalAutoencoder` model class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "class VariationalAutoencoder(Model):\n",
    "    def __init__(self, latent_dim=2):\n",
    "        \"\"\"\n",
    "        Creates a variational autoencoder Keras model.\n",
    "        \n",
    "        Args:\n",
    "            latent_dim: dimensionality of latent space.\n",
    "        \"\"\"\n",
    "        super().__init__()\n",
    "        self.latent_dim = latent_dim\n",
    "        self.encoder = create_encoder(latent_dim)\n",
    "        self.decoder = create_decoder(latent_dim)\n",
    "    \n",
    "    def encode(self, x):\n",
    "        \"\"\"\n",
    "        Computes variational distribution q statistics from \n",
    "        input image x.\n",
    "        \n",
    "        Args:\n",
    "            x: input image, shape (M, 28, 28, 1).\n",
    "            \n",
    "        Returns:\n",
    "            Mean, shape (M, latent_dim), and log variance, \n",
    "            shape (M, latent_dim), of multivariate Gaussian \n",
    "            distribution q.        \n",
    "        \"\"\"\n",
    "        q_mean, q_log_var = self.encoder(x)\n",
    "        return q_mean, q_log_var\n",
    "    \n",
    "    def sample(self, q_mean, q_log_var):\n",
    "        \"\"\"\n",
    "        Samples latent code from variational distribution q.\n",
    "        \n",
    "        Args:\n",
    "            q_mean: mean of q, shape (M, latent_dim).\n",
    "            q_log_var: log variance of q, shape (M, latent_dim).\n",
    "            \n",
    "        Returns:\n",
    "            Latent code sample, shape (M, latent_dim).\n",
    "        \"\"\"\n",
    "        eps = tf.random.normal(shape=q_mean.shape)\n",
    "        return q_mean + tf.exp(q_log_var * .5) * eps\n",
    "        \n",
    "    def decode(self, t):\n",
    "        \"\"\"\n",
    "        Computes expected pixel values (= probabilities k) from \n",
    "        latent code t.\n",
    "        \n",
    "        Args:\n",
    "            t: latent code, shape (M, latent_dim).\n",
    "\n",
    "        Returns:\n",
    "            Probabilities k of multivariate Bernoulli \n",
    "            distribution p, shape (M, 28, 28, 1).\n",
    "        \"\"\"\n",
    "        k = self.decoder(t)\n",
    "        return k\n",
    "    \n",
    "    def call(self, x):\n",
    "        \"\"\"\n",
    "        Computes expected pixel values (= probabilities k) of a \n",
    "        reconstruction of input image x. \n",
    "                \n",
    "        Args:\n",
    "            x: input image, shape (M, 28, 28, 1).\n",
    "\n",
    "        Returns:\n",
    "            Probabilities k of multivariate Bernoulli \n",
    "            distribution p, shape (M, 28, 28, 1).\n",
    "        \"\"\"\n",
    "        q_mean, q_log_var = self.encode(x)\n",
    "        t = self.sample(q_mean, q_log_var)\n",
    "        return self.decode(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `variational_lower_bound` function is implemented using Eq. $(12)$ and Eq. $(11)$ but instead of estimating the lower bound for the full dataset it is normalized by the dataset size $N$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.losses import binary_crossentropy\n",
    "\n",
    "def variational_lower_bound(model, x):\n",
    "    \"\"\"\n",
    "    Computes normalized variational lower bound.\n",
    "    \n",
    "    Args:\n",
    "        x: input images, shape (M, 28, 28, 1)\n",
    "        \n",
    "    Returns:\n",
    "        Variational lower bound averaged over M \n",
    "        samples in batch and normalized by dataset\n",
    "        size N.\n",
    "    \"\"\"\n",
    "    q_mean, q_log_var = model.encode(x)\n",
    "    t = model.sample(q_mean, q_log_var)\n",
    "    x_rc = model.decode(t)\n",
    "    \n",
    "    # Expected negative reconstruction error\n",
    "    neg_rc_error = -tf.reduce_sum(binary_crossentropy(x, x_rc), axis=[1, 2])\n",
    "\n",
    "    # Regularization term (negative KL divergence)\n",
    "    neg_kl_div = 0.5 * tf.reduce_sum(1 + q_log_var \\\n",
    "                                 - tf.square(q_mean) \\\n",
    "                                 - tf.exp(q_log_var), axis=-1)\n",
    "    \n",
    "    # Average over mini-batch (of size M)\n",
    "    return tf.reduce_mean(neg_rc_error + neg_kl_div)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The training procedure uses the negative value of the variational lower bound as loss to compute stochastic gradient estimates. These are used by the `optimizer` to update model parameters $\\boldsymbol\\theta$ and $\\boldsymbol\\phi$. The normalized variational lower bound of the test set is computed at the end of each epoch and printed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "@tf.function\n",
    "def train_step(model, optimizer, x):\n",
    "    \"\"\"Trains VAE on mini-batch x using optimizer.\n",
    "    \"\"\"\n",
    "    with tf.GradientTape() as tape:\n",
    "        # Compute neg. variational lower bound as loss\n",
    "        loss = -variational_lower_bound(model, x)\n",
    "    # Compute gradients from neg. variational lower bound\n",
    "    gradients = tape.gradient(loss, model.trainable_variables)\n",
    "    # Apply gradients to model parameters theta and phi\n",
    "    optimizer.apply_gradients(zip(gradients, model.trainable_variables))\n",
    "    return loss\n",
    "    \n",
    "def train(model, optimizer, ds_train, ds_test, epochs):\n",
    "    \"\"\"Trains VAE on training dataset ds_train using \n",
    "       optimizer for given number of epochs.\n",
    "    \"\"\"\n",
    "    for epoch in range(1, epochs + 1):\n",
    "        for x in ds_train:\n",
    "            train_step(model, optimizer, x)\n",
    "            \n",
    "        vlb_mean = tf.keras.metrics.Mean()\n",
    "        for x in ds_test:\n",
    "            vlb_mean(variational_lower_bound(model, x))\n",
    "        vlb = vlb_mean.result()\n",
    "        print(f'Epoch: {epoch:02d}, Test set VLB: {vlb:.2f}')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the data are modelled with a multivariate Bernoulli distribution, the MNIST images are first binarized to monochrome images so that their pixel values are either 0 or 1. The training batch size is set to 100 to get reliable stochastic gradient estimates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.datasets import mnist\n",
    "\n",
    "(x_train, _), (x_test, y_test) = mnist.load_data()\n",
    "\n",
    "x_train = (x_train > 127.5).astype('float32') # binarize\n",
    "x_train = x_train.reshape(-1, 28, 28, 1)\n",
    "\n",
    "x_test = (x_test > 127.5).astype('float32') # binarize\n",
    "x_test = x_test.reshape(-1, 28, 28, 1)\n",
    "\n",
    "batch_size = 100\n",
    "\n",
    "ds_train = tf.data.Dataset.from_tensor_slices(x_train).shuffle(x_train.shape[0]).batch(batch_size)\n",
    "ds_test = tf.data.Dataset.from_tensor_slices(x_test).shuffle(x_test.shape[0]).batch(batch_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We choose a two-dimensional latent space so that it can be easily visualized. Training the variational autoencoder with `RMSProp` as optimizer at a learning rate of `1e-3` for 20 epochs gives already reasonable results. This takes a few minutes on a single GPU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "vae = VariationalAutoencoder(latent_dim=2)\n",
    "opt = tf.keras.optimizers.RMSprop(lr=1e-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 01, Test set VLB: -166.56\n",
      "Epoch: 02, Test set VLB: -158.25\n",
      "Epoch: 03, Test set VLB: -154.44\n",
      "Epoch: 04, Test set VLB: -152.20\n",
      "Epoch: 05, Test set VLB: -150.47\n",
      "Epoch: 06, Test set VLB: -148.30\n",
      "Epoch: 07, Test set VLB: -148.63\n",
      "Epoch: 08, Test set VLB: -146.66\n",
      "Epoch: 09, Test set VLB: -145.61\n",
      "Epoch: 10, Test set VLB: -147.64\n",
      "Epoch: 11, Test set VLB: -148.42\n",
      "Epoch: 12, Test set VLB: -143.86\n",
      "Epoch: 13, Test set VLB: -143.31\n",
      "Epoch: 14, Test set VLB: -145.67\n",
      "Epoch: 15, Test set VLB: -143.78\n",
      "Epoch: 16, Test set VLB: -143.29\n",
      "Epoch: 17, Test set VLB: -142.25\n",
      "Epoch: 18, Test set VLB: -142.99\n",
      "Epoch: 19, Test set VLB: -143.39\n",
      "Epoch: 20, Test set VLB: -143.31\n"
     ]
    }
   ],
   "source": [
    "train(model=vae, \n",
    "      optimizer=opt, \n",
    "      ds_train=ds_train, \n",
    "      ds_test=ds_test, \n",
    "      epochs=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following figure shows the locations of test set images in latent space. Here, the mean vectors of the variational distributions are plotted. The latent space is organized by structural similarity of digits i.e. structurally similar digits have a smaller distance in latent space than structurally dissimilar digits. For example, digits 4 and 9 usually differ only by a horizontal bar or curve at the top of the image and are therefore in proximity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# Compute mean vectors of variational distributions (= latent code locations)\n",
    "q_test_mean, _ = vae.encode(x_test)\n",
    "\n",
    "# Use a discrete colormap\n",
    "cmap = plt.get_cmap('viridis', 10)\n",
    "\n",
    "# Plot latent code locations colored by the digit value on input images\n",
    "im = plt.scatter(q_test_mean[:, 0], q_test_mean[:, 1], c=y_test, cmap=cmap, \n",
    "                 vmin=-0.5, vmax=9.5, marker='x', s=0.2)\n",
    "\n",
    "plt.colorbar(im, ticks=range(10));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we sample locations in latent space (with density proportional to the prior density over latent variables) and decode these locations we can get a nice overview how MNIST digits are organized by structural similarity in latent space. Each digit is plotted with its expected pixel values k instead of using a sample from the corresponding multivariate Bernoulli distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "from scipy.stats import norm\n",
    "\n",
    "# Number of samples per latent space dimension\n",
    "samples_per_dim = 20\n",
    "\n",
    "# Size of plotted digits\n",
    "digit_size = 28\n",
    "\n",
    "# Sampling grid coordinates. Grid points density is\n",
    "# proportial to density of latent variable prior.\n",
    "grid_x = norm.ppf(np.linspace(0.05, 0.95, samples_per_dim))\n",
    "grid_y = norm.ppf(np.linspace(0.05, 0.95, samples_per_dim))\n",
    "\n",
    "figure = np.zeros((digit_size * samples_per_dim, \n",
    "                   digit_size * samples_per_dim))\n",
    "\n",
    "for i, x in enumerate(grid_x):\n",
    "    for j, y in enumerate(grid_y):\n",
    "        t_ij = np.array([[x, y]])\n",
    "        x_ij = vae.decode(t_ij)\n",
    "        digit = x_ij.numpy().reshape(digit_size, digit_size)\n",
    "        figure[j * digit_size: (j + 1) * digit_size,\n",
    "               i * digit_size: (i + 1) * digit_size] = digit\n",
    "\n",
    "plt.figure(figsize=(10, 10))\n",
    "plt.imshow(figure, cmap='Greys_r');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "\\[1\\] Diederik P. Kingma, Max Welling [Auto-Encoding Variational Bayes](https://arxiv.org/abs/1312.6114).  \n",
    "\\[2\\] François Chollet. [Deep Learning with Python](https://www.manning.com/books/deep-learning-with-python).  "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}